Analysis and inventory
- Capture structure, data storage and processes of the application
- Make dependencies and risks visible
- Add documentation where it is missing
Services
Software engineering focused on systems that are already in use: understand them, change them, connect them – and keep them maintainable.
Legacy applications: change instead of replace
Many applications have served their purpose reliably for years – while being hard to change, poorly documented and deeply entangled with day-to-day business. That is exactly where the need arises.
Changes and extensions
- Fit new functions into existing structures
- Error analysis and fixes in legacy code
- Adaptations to changed requirements and environments
Step-by-step modernisation
- Renewal in small, safeguarded stages instead of a full rebuild
- Interfaces between legacy and new systems
- Data migration and parallel operation during the transition
What you get: changes to your application become plannable and traceable again. You are no longer dependent on one particular person understanding the code – and you do not have to rebuild everything.
Software for measurement systems
Measurement systems have their own requirements: they run for a long time, often unattended, and must communicate reliably with hardware.
Acquisition
- Connecting instruments, sensors and measurement cards
- Cyclic and event-driven data acquisition
- Handling faults, dropouts and substitute values
Evaluation
- Calculation, filtering and plausibility checks of measurement data
- Taking calibration and correction data into account
- Output in existing formats and reports
Presentation and operation
- User interfaces for the measurement station and for evaluation
- Logging and traceability of measurement runs
- Designed for long, unattended operation
What you get: measurement runs are reproducible and the results stay traceable – even after a shift change or when a measurement station has not been used for a while.
IoT integration projects
Integration means different systems must talk to each other reliably. The challenge is rarely in the individual part but in the connection.
Connectivity
- Connecting sensors, machines and controllers
- Using established industrial protocols and interfaces
- Implementing transitions to cloud and backend services
Data paths
- Designing and implementing data flows
- Providing buffering for connection loss
- Aligning formats and semantics between systems
Operation
- Monitoring and fault notification
- Updates and remote maintenance in the field
- Diagnostics based on traceable logs
What you get: data arrives reliably where it is needed – even if a connection drops briefly or a device restarts.
Working together
One point of contact
From the first assessment to handover, responsibility stays in one place – with no handovers between departments.
Transparent effort
Estimates before the start, feedback when things change. Billing by effort; fixed prices can be agreed in advance.
Small steps
Results that are visible and usable early on, instead of a large rebuild with an uncertain outcome.
Does this match your task?
A short description is enough for a first assessment.